Computer Science – Performance
Scientific paper
Sep 1998
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998georl..25.3379h&link_type=abstract
Geophysical Research Letters, Volume 25, Issue 17, p. 3379-3382
Computer Science
Performance
102
Meteorology And Atmospheric Dynamics: Climatology, Meteorology And Atmospheric Dynamics: Precipitation, Meteorology And Atmospheric Dynamics: General Or Miscellaneous
Scientific paper
Recent century-long experiments performed with global climate models have simulated observed trends in global-mean temperature quite successfully when both greenhouse gas and aerosol forcing has been included. The performance of these same experiments in simulating observed global-scale changes in precipitation has not previously been examined. Here we use a gridded terrestrial precipitation dataset for the period 1900 to 1996 to examine the extent to which observed global and zonal-mean precipitation sensitivities to global warming have been captured by a series of model simulations recently completed by the UK Hadley Centre. There are signs that the model has been able to reproduce at least some of the observed zonal-mean variations in the precipitation sensitivity to warming. Questions remain both about the quality of the observed precipitation data and about the spatial scale at which anthropogenically-forced global climate models can be expected to reproduce observed variations in precipitation.
Hulme Mike
Johns Timothy C.
Osborn Timothy J.
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